JOURNAL ARTICLE
Computational analysis of equivalent porous conditions in realistic coiling techniques for hemodynamic evaluation of ICA aneurysms.
Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2025, v. 36, n. 11. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Haie, T.; Ali, Rifaqat; Albadr, Rafid Jihad; Sharma, Aman; Dhawan, Aashim; Sharma, Prabhat; Taher, Waam Mohammed; Alwan, Mariem; Jawad, Mahmood Jasem; Mushtaq, Hiba 3 of 3
Abstract
Intracranial aneurysms (ICAs) pose significant health risks, and endovascular coiling remains a widely adopted technique for their treatment. This study investigates the hemodynamic effects of coiling in ICA aneurysms by introducing an equivalent porous condition to simulate realistic coil deployments. The equivalent porous model enables a computationally efficient representation of coil-induced flow alterations without compromising the fidelity of hemodynamic analysis. Using computational fluid dynamics (CFD), we simulate blood flow within aneurysms treated with varying coil densities and configurations to evaluate their impact on flow velocity, wall shear stress and vorticity. The study aims to provide insights into how coil deployment affects intra-aneurysmal hemodynamics, including potential flow stagnation and clot formation. This work presents the evaluated coiling for the real coiling by comparison of the hemodynamic factors of wall shear stress. Our findings demonstrate the validity of the equivalent porous condition for predicting treatment outcomes, offering a valuable framework for optimizing coil design and placement strategies in clinical settings. This work contributes to advancing patient-specific treatment planning and improving therapeutic efficacy for ICA aneurysms. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2025/11, Vol. 36, Issue 11, p1
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2025
- ISSN:0129-1831
- DOI:10.1142/S0129183125500299
- Accession Number:186535062
- Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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